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compute_reinforced_soil_wall

Paid tier only. Calling this without an authenticated CivilQuants account returns TIER_INSUFFICIENT — sign up at https://civilquants.com/pricing or use the free-tier alternative compute_cantilever_wall. Reinforced soil retaining wall (RSW) using granular fill reinforced with horizontal layers of ...

Risk signalsHigh parameter count (41 properties) · Bulk/mass operation — affects multiple targets

Part of the Civilquants server.

compute_reinforced_soil_wall can trigger actions in Civilquants, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents invoke compute_reinforced_soil_wall to trigger processes or run actions in Civilquants. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

compute_reinforced_soil_wall can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "compute_reinforced_soil_wall": {
      "limits": [
        {
          "counter": "compute_reinforced_soil_wall_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

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These attack patterns abuse exactly the kind of access compute_reinforced_soil_wall gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so compute_reinforced_soil_wall only ever does what you allow.

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Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the compute_reinforced_soil_wall tool do? +

Paid tier only. Calling this without an authenticated CivilQuants account returns TIER_INSUFFICIENT — sign up at https://civilquants.com/pricing or use the free-tier alternative compute_cantilever_wall. Reinforced soil retaining wall (RSW) using granular fill reinforced with horizontal layers of geogrid or steel tie strips, with one of four facing systems: precast concrete panels (Reinforced Earth™ / VSL Retained Earth style), segmental modular blocks (Allan Block / Keystone), wraparound soft face (vegetated or biodegradable mat), or Terramesh-style steel mesh face (re-using the S29 gabion vocabulary). The SECOND member of the earth_structures L1 leaf (after gabion_wall at S29), the SIXTH member of the wall family, the FIFTH structural system, and the FIRST wall family member with a face-area-primary measurement basis (m² of face + m² × layers of geogrid, both m²; every prior wall body was m³). 17th use of the classed-then-legacy attribute discrimination pattern. Routes via four new WorkCategory entries (RSW_FACING_PANEL, RSW_MODULAR_BLOCK, RSW_WRAPAROUND_FACE, RSW_TIE_STRIP) plus the GEOGRID category (whose handler is gap-filled in CESMM4/NRM2/MMHW this session) plus re-use of GABION_BASKET on the STEEL_MESH_FACE variant. Codes: CESMM4 E.8.4-8 (Class E Earthworks §E.8 stabilisation), NRM2 5.23-27 (Group 5 Excavating and filling), MMHW 600.15-19 (Series 600 Earthworks; SHW Cl. 624 reinforced earth retaining structures), and SMM7 D41.3/D41.4/D41.5/D20.21/D20.14.2 (D41 — Crib walls / gabions / REINFORCED EARTH — the NAMED home, now serving TWO wall families). Eight variant presets exercise all four RSWFacing values (2/2/2/2 split). Example params: wall_height=6 m (0.5–12), wall_length=40 m (5–200), depth_into_fill_m=4.5 m (0.35–15). Example call: {"params": {"wall_height": 6, "wall_length": 40, "depth_into_fill_m": 4.5}, "standard": "MMHW"}. Omitted parameters use sensible engineering defaults. Pass deliverables=["xlsx"] to also receive a one-shot Excel BoQ download URL in the same call.. It is categorised as a Execute tool in the Civilquants MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on compute_reinforced_soil_wall? +

Register the Civilquants MCP server in PolicyLayer and add a rule for compute_reinforced_soil_wall: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Civilquants. Nothing to install.

What risk level is compute_reinforced_soil_wall? +

compute_reinforced_soil_wall is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit compute_reinforced_soil_wall? +

Yes. Add a rate_limit block to the compute_reinforced_soil_wall rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block compute_reinforced_soil_wall completely? +

Set action: deny in the PolicyLayer policy for compute_reinforced_soil_wall. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides compute_reinforced_soil_wall? +

compute_reinforced_soil_wall is provided by the Civilquants MCP server (https://api.civilquants.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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